Inside sports analytics: 10 lessons for business leaders
Post "Moneyball" many sports teams take a highly analytical approach to winning, and there are several important lessons that businesses can learn. These 10 tips come from research Thomas H. Davenport...
View ArticleData-driven health care
Learn how five health care providers are tackling global health issues with big data analytics.
View ArticleExpress Scripts: Using actionable data to predict patient health
What if you could predict which patients were likely to develop diabetes and intervene before it happens? Express Scripts is using analytics to do just that.
View ArticleNew York Mets sign analytics to lead their lineup
The New York Mets are the latest in a long line of sports teams using analytics to better engage fans, improve strategy and increase revenue. See how they and other teams are winning with analytics.
View ArticleCan sensing cities become thinking and responsive cities?
In the vision of the sensing city, sensors will gather data to monitor everything from noise levels to water use, in real time and at a very granular level. Can the resulting data be analyzed to...
View ArticleThree reasons reporting and analytics projects fail and how to avoid the...
Learn how to deal with three potential risk areas before you dive into a reporting and analytics project.
View ArticleIntelligence for action
Find out how three different government agencies are using analytics to deter threats, combat crime and protect the public.
View ArticleMeet the data scientist: Kristin Carney
When Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
View ArticleMeet the data scientist: Alex Herrington
Alex Herrington decided he wanted a career in data because he liked the idea of using numbers to figure out things. Now he’s a data scientist at a US retailer.
View ArticleHow to get the most value from your data scientists
Hiring data scientists isn’t enough. This excerpt from an MIT Sloan report offers advice on how to best manage these analytic professionals.
View ArticleBest practices report: Business-driven BI and analytics
Easy-to-use BI tools are causing business users to bypass IT, but there are pitfalls. Collaboration is needed to make effective use of resources and data says David Stodder in this best practices...
View ArticleMeet the data scientist: Manuel David Garcia
While he did study statistics, operations research and relational marketing, Data Scientist Manuel-David Garcia's "real school" came from on-the-job-training.
View ArticleMeet the data scientist: Patrick Hall
Patrick Hall, a data scientist at SAS, talks about his education, what made him want to be a data scientist and what his work life is like.
View ArticleKeeping the science in data science
Calling something a science doesn't make it so. SAS Data Scientist Patrick Hall shares some lessons he's learned on using scientific methods in this field.
View ArticlePreparing a new generation for leadership in a big data world
Words of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
View Article7 steps for executing a successful data science strategy
Get tips from TDWI for making your foray into data science a success.
View ArticleMeet the data scientist: Victor Fang
Like many in Silicon Valley, Victor Fang has been a data scientist since before the title was coined. Read this analytical professional's Q&A.
View ArticleMeet the data scientist: Colin Nugteren
Data scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
View ArticleHiring? We have the data scientist interview questions you need
Use these data scientist interview questions to recruit someone with a range technology skills and a knack for communicating complex subjects to a variety of audiences.
View ArticleThe intersection of modern IT and advanced analytics
Thornton May explains how IT groups are helping the business use analytics to adapt to the C-suite's need for a modern, agile and results-focused IT function.
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